Literature DB >> 34145103

Correlation between cotinine urinary levels & cardiovascular autonomic function tests among smokeless tobacco chewers: A cross-sectional study.

Kiran S Nikam1, Kanchan C Wingkar2, Rajesh K Joshi3, Rajashekar K Kallur4.   

Abstract

BACKGROUND &
OBJECTIVES: Cardiovascular disease (CVD), the leading cause of death worldwide is responsible for over 17 million deaths globally, of which 10 per cent deaths have been expected due to consumption of tobacco. The association between CVD and chewing of tobacco is limited and remains arguable. The aim of this study was to find out the correlation between urinary cotinine level and cardiovascular autonomic function tests of tobacco chewers.
METHODS: In the present study, 600 participants, 300 smokeless tobacco chewers (STC) and 300 non-tobacco chewers (NTC), between 18 and 65 yr were selected. Various parameters such as anthropometric, systolic blood pressure (SBP), diastolic blood pressure (DBP), autonomic function tests and urinary cotinine levels were measured.
RESULTS: Significant difference (P<0.001) was noted in STC and NTC for anthropometric parameters, SBP, DBP and urinary cotinine levels. Sympathetic and parasympathetic autonomic function test showed significant difference on comparison in STC and NTC groups, except in Valsalva ratio. Correlations with urinary cotinine levels were significant for sympathetic autonomic functions, SBP fall (r=0.138, P=0.016), DBP rise (r=-0.141, P≤0.014); parasympathetic autonomic function, heart rate (HR) response to standing (r=-0.208, P≤0.003), deep breathing (r=-0.473, P≤0.001) and Valsalva ratio (r=-0.396, P≤0.0001). INTERPRETATION &
CONCLUSIONS: Correlation between urinary cotinine levels and autonomic function tests elucidates the linkage involving autonomic nervous system damage which can be considered as an important associated relationship for early diagnosis of CVD health risk factors among smokeless tobacco (ST) users.

Entities:  

Keywords:  Autonomic function test; cardiovascular; smokeless tobacco; urinary cotinine

Mesh:

Substances:

Year:  2020        PMID: 34145103      PMCID: PMC8224156          DOI: 10.4103/ijmr.IJMR_1815_18

Source DB:  PubMed          Journal:  Indian J Med Res        ISSN: 0971-5916            Impact factor:   2.375


It has been estimated that more than 300 million people worldwide are addicted due to consumption of smokeless tobacco (ST)1. Recent evidence shows that globally the ST consumption is responsible for an estimated 6,52,494 all cause deaths across the globe annually. This constituted about 10 per cent of all the deaths that could be attributed to all forms of tobacco use2. In 20th century 100 million premature deaths happened due to tobacco usage, if trends continues, at the end of 21st century it may rise upto one billion1.The frequency of tobacco use is around 37.97 per cent in men, 12.5 per cent in the female in Belagavi, Karnataka, India, and the most common form of tobacco use is ST3. Depending on the type of ST products, nicotine content may vary, and therefore, the measurement of nicotine and its metabolites among ST users is important to understand the addictive potential of ST products. The half-life of nicotine is short, and its metabolites especially cotinine has a long half-life, which is a good biomarker of nicotine in urine (urinary cotinine level)4 and may serve as a useful marker to determine the effects of different forms of tobacco consumption567. The epidemiological evidence on cigarette smoking in relation to cardiovascular disease (CVD) is well known, but the correlation between CVD and chewing of tobacco is limited8. ST is being used in dipping and chewing forms. Due to the high background rates of CVD, even small increase in risk may represent a large public health impact in countries that have a high prevalence of ST use. The present study was aimed to assess the correlation between the urinary cotinine levels and autonomic function among ST chewers.

Material & Methods

This cross-sectional study was done in the Belagavi region of Karnataka State in India from April 2013 to December 2016. The study participants were divided into two groups: group 1 - ST chewers (STC) and group 2 - non-tobacco chewers (NTC). Ethical clearance was obtained from the Institutional Ethical Committee of Belagavi Institute of Medical Sciences, Belagavi and written informed consent was obtained from the participants. Inclusion criteria: A total of 300 STC aged between 18 and 65 yr were randomly selected from the outpatient department of the district (BIMS) hospital, attached to the college and 300 NTC participants were also randomly selected from the same hospital (including hospital staff) who were not consuming tobacco. The participants were brought to Clinical Physiology Laboratory, Department of Physiology, BIMS-Belagavi, where various parameters were observed and measured. Exclusion criteria: Participants associated with disease or conditions, known to affect autonomic function such as Guillain Barre Syndrome, poliomyelitis, diphtheria, tuberculosis, syphilis, amyloidosis, chronic renal disease, diabetes mellitus, bronchial asthma and giddiness on standing, evidence of hypertension, receiving drugs that are known to interfere with cardiac function or respiratory functions such as beta blockers, sympathomimetic drugs, vasodilators and diuretics were excluded from the study. The sample size based on r-value of tobacco use, was calculated as 209 with 90 per cent power in each group9. However, the present study included 300 participants in each group to increase the power of the study. Anthropometric parameters: Physical examination of the participants was done. Recording of anthropometric parameters such as height (in cm), weight (in kg), body surface area (BSA) (m2) and body mass index (kg/m2) was done. Recording of physiological parameters was also conducted. Respiratory rate (cycles/minute) heart rate (HR) (beats/min), systolic blood pressure (SBP) and diastolic blood pressures (DBPs) (mm of Hg) were measured using mercury sphygmomanometer. Electrocardiogram (ECG) recording was done with the help of 12-lead ECG Machine, Cardiart 6108T of BPL healthcare, India. Recording of autonomic function parameters as recommended by the American Diabetic Association was performed as per Ewing criteria10. Parasympathetic activity: The following parasympathetic autonomic tests were measured: (i) HR response to Valsalva manoeuvre (Valsalva ratio); (ii) HR response to deep breathing (maximum HR–minimum HR); and (iii) Immediate HR response to standing (postural changes in HR). Sympathetic activity: The following sympathetic autonomic tests were measured: (i) blood pressure response to standing (postural changes in blood pressure) (orthostatic test); and (ii) blood pressure response to sustained handgrip test exercise (increased in DBP). Collection of urine samples and analysis of cotinine: Fasting urine samples were collected from the participants. The collected samples were transferred immediately to the laboratory at BIMS, Belagavi, and frozen at –20°C until analysis. Extraction of cotinine from the urine sample was done by gas chromatography-mass spectroscopy qualitatively and quantitatively by high performance liquid chromatography5. Statistical analysis: The data in present study were not normally distributed. Hence, the statistical analysis of various parameters was applied for non-parametric test, i.e., Mann–Whitney U-tests to compare between two different groups. The Spearman test was applied to find out correlation between the different variables of STC and NTC groups. The statistical analysis was conducted using SPSS v. 19.0 (SPSS Inc., Chicago, IL, USA).

Results

Table I indicates the anthropometric characteristics of STC and NTC groups such as age, weight, body mass index, SBP and DBP. There were significant (P<0.001) differences between the STC and NTC group in terms of age, height, weight, BSA, body mass index, HR, relative risk and mean SBP and mean DBP. The urinary cotinine levels among STC (1563.68±1198.97ng/ml)was significantly higher (P<0.001) than that in NTC group (23.48±11.08 ng/ml).
Table I

Description of samples based on mean anthropometric data of participants

Anthropometric parametersNTC (n=300)STC (n=300)
Age (yr)37.00±16.0537.10±15.99
Height (cm)157.85±5.19158.93±6.42**
Weight (kg)59.49±7.2452.00±4.96***
Body mass index (kg/m2)24.01±3.1320.66±2.41***
BSA (m2)1.59±0.091.51±0.08***
HR (bpm)76.64±6.0591.98±7.29***
Respiratory rate (cycles/min)15.67±2.2917.03±2.69***
SBP (mmHg)116.16±8.02125.31±8.52***
DBP (mmHg)75.61±5.4380.56±5.77***

Values indicated mean±SD of 300 participants in each group. P**<0.01 ***<0.001 compared to NTC group. NTC, nontobacco chewers; STC, smokeless tobacco chewers; SD, standard deviation, SBP, systolic blood pressure; DBP, diastolic blood pressure; HR, heart rate; BSA, body surface area

Description of samples based on mean anthropometric data of participants Values indicated mean±SD of 300 participants in each group. P**<0.01 ***<0.001 compared to NTC group. NTC, nontobacco chewers; STC, smokeless tobacco chewers; SD, standard deviation, SBP, systolic blood pressure; DBP, diastolic blood pressure; HR, heart rate; BSA, body surface area Sympathetic autonomic function tests (Table II) revealed that mean SBP fall during the orthostatic test was increased in case of STC when compared to NTC and was significant (P<0.001). The mean DBP rise during the handgrip test was significantly (P<0.001) decreased in case of STC as compared to NTC. Parasympathetic autonomic function test (Table III) showed that HR response to standing and deep breathing was decreased in case of STC as compared to NTC and was significant (P<0.001). However, HR response to Valsalva ratio was non-significantly decreased in case of STC in comparison with NTC.
Table II

Mean blood pressure response during autonomic function test for sympathetic function in smokeless tobacco chewers (n=300) and non-tobacco chewers (n=300)

GroupsOrthostatic test (SBP fall) (mmHg)95% CI for mean
STC19.02±8.24***18.08-19.96
NTC11.26±9.9010.13-12.38
Hand grip test (DBP rise) (mmHg)
STC13.42±8.41***12.47-14.38
NTC20.14±8.9519.13-21.54

Values are mean±SD ***P<0.001comapred to NTC group. NTC, non-tobacco chewers; STC, smokeless tobacco chewers; CI, confidence interval; SD, standard deviation; SBP, systolic blood pressure; DBP, diastolic blood pressure

Table III

Mean heart rate response during autonomic function test parasympathetic function in smokeless tobacco chewers (n=300) and non-tobacco chewers (n=300)

GroupsHR response to standing (bpm)95% CI for mean
STC1.25±0.17***1.23-1.27
NTC1.30±0.181.28-1.32
HR response during deep breathing (bpm)
STC1.25±0.11***1.23-1.26
NTC1.31±0.111.30-1.32
HR response during Valsalva manoeuvre (bpm)
STC1.58±0.271.55-1.61
NTC1.62±0.261.59-1.65

Values are mean±SD; ***P<0.001 compared to NTC group. NTC, non-tobacco chewers; STC, smokeless tobacco chewers; bpm, beats/minute; CI, confidence interval; HR, heart rate; SD, standard deviation

Mean blood pressure response during autonomic function test for sympathetic function in smokeless tobacco chewers (n=300) and non-tobacco chewers (n=300) Values are mean±SD ***P<0.001comapred to NTC group. NTC, non-tobacco chewers; STC, smokeless tobacco chewers; CI, confidence interval; SD, standard deviation; SBP, systolic blood pressure; DBP, diastolic blood pressure Mean heart rate response during autonomic function test parasympathetic function in smokeless tobacco chewers (n=300) and non-tobacco chewers (n=300) Values are mean±SD; ***P<0.001 compared to NTC group. NTC, non-tobacco chewers; STC, smokeless tobacco chewers; bpm, beats/minute; CI, confidence interval; HR, heart rate; SD, standard deviation On applying Spearman correlation coefficient test, mean SBP and DBP in case of STC did not show any significant correlation with urinary cotinine levels (r=0.012, P=0.827) and (r=0.056, P=0.329). Mean SBP fall during sympathetic autonomic function test (Orthostatic test) in case of STC showed weak positive significant correlation with urinary cotinine levels (r=0.138, P=0.016). Mean DBP rise during handgrip test in case of STC showed weak negative significant correlation with urinary cotinine levels (r=−0.141, P≤0.014). Table IV shows parasympathetic autonomic function test. HR response to standing in case of STC showed weak negative but significant correlation with urinary cotinine levels (r=−0.208, P≤0.003). The HR response to deep breathing of STC showed moderate negative but significant inverse correlation with urinary cotinine levels (r=−0.473, P≤0.001) The HR response to Valsalva ratio in case of STC showed weak negative but significant inverse correlation with urinary cotinine levels (r=−0.396, P≤0.001).
Table IV

Correlation of urinary cotinine level of smokeless tobacco chewers (STC, n=300) with autonomic function test

Autonomic function testCorrelation coefficient (r)95% CI for meanP
SBP0.012−0.104 to 0.1290.827
DBP0.056−0.060 to 0.1720.329
SBP fall0.1380.022 to 0.2510.016
DBP rise−0.141−0.253 to −0.0240.014
HR response to deep standing−0.208−0.317 to 0.094<0.003
HR response to deep breathing−0.473−0.559 to 0.377<0.001
HR response to Valsalva ratio−0.396−0.490 to −0.293<0.001

HR, heart rate; CI, confidence interval; SBP, systolic blood pressure; DBP, diastolic blood pressure

Correlation of urinary cotinine level of smokeless tobacco chewers (STC, n=300) with autonomic function test HR, heart rate; CI, confidence interval; SBP, systolic blood pressure; DBP, diastolic blood pressure

Discussion

The urinary cotinine level range among STC and NTC was 100.84-810 and 10.01-59.02 ng/ml5. Similar results of urinary cotinine levels have been noted4111213.Pandey et al14 reported that urinary cotinine levels in non-smokers were always <100 ng/ml and with differences in cut-off values67. The variations in the range of cotinine levels depends on tobacco chewer's dietary intake of nicotine, cotinine excretion, metabolic activity, passive smoking and environmental smoke4. The difference in SBP and DBP may be due to population ethnicity, composition of tobacco products and diversity in sample size. Correlation between urinary cotinine levels with SBP and DBP was not significant15 except in one case16 which showed moderate correlation with the SBP. Difference between SBP fall during the orthostatic test was significant which agree with one of the study17 but not with other studies1819. This may be due to regional difference, tobacco products and quantity of consumption of tobacco. The SBP fall during orthostatic test indicates loss of normal response due to vagal damage because of nicotine1417. The difference between DBP rise during handgrip test of STC and NTC was significant and was consistent with other studies1819. It indicates a decrease in sympathetic reactivity of the individual and high content of sodium in tobacco products may contribute for DBP rise20. A significant rise in the DBP is of major concern to note as an increase in DBP is indicative of hypertension14. Differences in HR response to standing may be due to difference in inhabitants, tobacco product compositions, loss of normal response due to vagal damage by nicotine and reduced sample size18. Change in posture from supine to standing, autonomic nervous system acts to produce a rise in HR and vasoconstriction to maintain blood pressure which is mediated through sympathetic innervations to blood vessels21. The key process in tobacco use induces atherogenesis initiation20, where the parasympathetic fibres being the longest fibres are affected first due to atherosclerotic changes of vasa nervorum22. Urinary cotinine levels of STC group moderately correlated with the HR response to deep breathing (deep breathing, r=−0.473, P<0.001). HR response to deep breathing (sinus arrhythmia) is primarily due to the fluctuation of parasympathetic output to the heart23. It is assumed that loss of R-R variation is probably due to vagal autonomic neuropathy. Parasympathetic efferents are responsible for mediating this effect24. Difference in outcome may be due to age, resting HR, body mass index and administered medications25. The Valsalva manoeuvre tests the integrity of both parasympathetic and sympathetic divisions of autonomic nervous system17. The hemodynamic changes during the manoeuvre are mediated through baroreceptors. The absorption of nicotine affects sympathetic traffic to the skin, heart and adrenal glands, but reduces sympathetic traffic to muscle, which is mediated by increased baroreceptor activity triggered by arterial pressure increase, where it affects baroreceptor control of sympathetic outflow to different vascular beds26. In present study, Valsalva ratio was not significant in STC and this could be because of the difference in methodology. In conclusion, the present study elucidates the linkage involving autonomic nervous system damage with correlation to urinary cotinine levels which is an important biomarker to predict the tobacco consumption exposure and might be constructive for diagnosis of health risk among tobacco users.
  19 in total

1.  Urinary levels of nicotine & cotinine in tobacco users.

Authors:  Digambar Behera; Rajan Uppal; Sidharath Majumdar
Journal:  Indian J Med Res       Date:  2003-09       Impact factor: 2.375

2.  Assessment of the automated colorimetric and the high-performance liquid chromatographic methods for nicotine intake by urine samples of smokers' smoking low- and medium-yield cigarettes.

Authors:  S A Kolonen; E V Puhakainen
Journal:  Clin Chim Acta       Date:  1991-02-15       Impact factor: 3.786

3.  The effect of smoking on the cardiovascular autonomic functions: a cross sectional study.

Authors:  Motilal C Tayade; Nandkumar B Kulkarni
Journal:  J Clin Diagn Res       Date:  2013-07-01

4.  Ambulatory 24-h blood pressure monitoring in healthy, middle-aged smokeless tobacco users, smokers, and nontobacco users.

Authors:  G Bolinder; U de Faire
Journal:  Am J Hypertens       Date:  1998-10       Impact factor: 2.689

Review 5.  Smoking and cardiovascular disease: mechanisms of endothelial dysfunction and early atherogenesis.

Authors:  Barbara Messner; David Bernhard
Journal:  Arterioscler Thromb Vasc Biol       Date:  2014-03       Impact factor: 8.311

Review 6.  Sympathetic neural mechanisms in human cardiovascular health and disease.

Authors:  Nisha Charkoudian; Jennifer A Rabbitts
Journal:  Mayo Clin Proc       Date:  2009-09       Impact factor: 7.616

7.  Smoking and vascular dysfunction in Africans and Caucasians from South Africa.

Authors:  M C Zatu; J M Van Rooyen; A E Schutte
Journal:  Cardiovasc J Afr       Date:  2011 Jan-Feb       Impact factor: 1.167

Review 8.  Overview of Cotinine Cutoff Values for Smoking Status Classification.

Authors:  Sungroul Kim
Journal:  Int J Environ Res Public Health       Date:  2016-12-14       Impact factor: 3.390

9.  Global impact of tobacco control policies on smokeless tobacco use: a systematic review protocol.

Authors:  Monika Arora; Aastha Chugh; Neha Jain; Masuma Mishu; Melanie Boeckmann; Suranji Dahanayake; Jappe Eckhardt; Sarah Forberger; Rumana Huque; Mona Kanaan; Zohaib Khan; Ravi Mehrotra; Muhammad Aziz Rahman; Anne Readshaw; Aziz Sheikh; Kamran Siddiqi; Aishwarya Vidyasagaran; Omara Dogar
Journal:  BMJ Open       Date:  2020-12-24       Impact factor: 2.692

10.  Association of exclusive smokeless tobacco consumption with hypertension in an adult male rural population of India.

Authors:  Ambarish Pandey; Nivedita Patni; Sasmit Sarangi; Mansher Singh; Kartavya Sharma; Ananth K Vellimana; Somdutta Patra
Journal:  Tob Induc Dis       Date:  2009-11-24       Impact factor: 2.600

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